Systems | Development | Analytics | API | Testing

From Hours to Seconds: How QMetry Uses AI to Redefine Test Case Creation

Testing has evolved far beyond scattered spreadsheets and disconnected tools. Yet even with modern platforms in place, teams still run into bottlenecks, especially when fundamental tasks like test case creation are handled manually. It involves combing through acceptance criteria, writing out each step, and reviewing everything for gaps. Repeating that across multiple user stories quickly drains time and slows progress – it’s repetitive, time-intensive, and prone to inconsistency.

Cross Browser Testing: A Complete Guide

Different browsers can display the same website in completely different ways. What seems great in Chrome can be broken in Safari, and what works in Firefox just might fail in Edge. Cross browser testing ensures that your website works consistently across all the browsers before your potential users see problems. That way, the team can catch browser-specific issues ahead of time, preventing them from affecting the user experience or tarnishing the outlook of your brand.

Machines That Learn Vs Machines That Imagine: GenAI Vs ML

Artificial Intelligence(AI) has recently become a hot topic across industries transforming sectors like finance, healthcare, education and research. The two of its subfields are Generative AI and Machine Learning(ML), but both of these terms are often confused for one another. we will explore the difference in purpose, techniques and capabilities and tools like Keploy’s GenAI-powered testing platform makes big difference in software testing.

Connect APIs to AI Agents: Expose, Discover and Manage MCP Servers with Bijira

The API landscape is evolving rapidly with some protocols rising in popularity while others fade away. The journey that started with SOAP has now evolved into other protocols like REST, GraphQL, gRPC, AsyncAPIs, and more. With the emergence of large language models (LLMs), we are now in the era of AI agent/assistant integrations with APIs. LLMs are power utilities. However, they operate without contextual awareness.

From API Automation to Data AI Gateway: Why DreamFactory's Evolution Matters Now

DreamFactory has transformed from a basic API automation tool into a Data AI Gateway, addressing modern enterprise challenges like managing APIs, integrating data, and ensuring security. Here's why this evolution is important: API Management Simplified: DreamFactory generates secure REST APIs for databases in just 5 minutes, saving time and reducing development costs by up to $201,783 annually.

Announcing Our New Region for Choreo: Powering Innovation Within the EU

As data privacy regulations grow more complex, particularly in the European Union, organizations are under increasing pressure to ensure their data remains within jurisdictional boundaries. Many EU-based businesses, especially those in regulated industries, are legally required to store and process data within the EU to comply with frameworks like the General Data Protection Regulation (GDPR).

Future Trends in Distributed Tracing for Microservices

Distributed tracing is essential for managing the complexity of modern microservices. It provides visibility into how requests flow through interconnected systems, helping to identify bottlenecks, errors, and latency issues. As microservices adoption grows - 61% of enterprises already use them - tools like OpenTelemetry, Dynatrace, and DreamFactory are shaping the future of observability. Each offers unique solutions for monitoring and troubleshooting distributed systems.

Is Ambient Mesh the Future of Service Mesh?

The word on the street is that Ambient Mesh is the obvious evolution of service mesh technology — leaner, simpler, and less resource-intensive. But while Ambient Mesh is an exciting development, the reality is more nuanced. It is more than likely that a sidecar-based mesh is still a better fit for your workload and organization.

Getting Started With Microservices Testing

In today’s fast-moving tech world, microservices have become the backbone of modern applications. But with flexibility comes complexity, especially when it comes to testing. Unlike monolithic apps, testing microservices requires a different approach. Each service runs independently, and making sure everything works smoothly together is both important and challenging. In this blog, we’ll walk through what microservices are, why testing them matters, and how to approach them step by step.